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A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions
Unplanned hospital readmissions are a burden to patients and increase healthcare costs. A wide variety of machine learning (ML) models have been suggested to predict unplanned hospital readmissions. These ML models were often specifically trained on patient populations with certain diseases. However...
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| Publicat a: | J Am Med Inform Assoc |
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| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7973448/ https://ncbi.nlm.nih.gov/pubmed/33338231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa299 |
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